Mr. Jianming Gong Profile

Jianming Gong

at IGSNRR

SPIE Involvement:

Author

Publications (4)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 5 November 2008 Paper

Dynamic change and quantitative analysis of Zhelin Bay based on multi-source spatial data

Dandan Zhang, Xiaomei Yang, Xiaoyu Sun, Jianming Gong, Yong Liu

Proceedings Volume 7144, 71441B (2008) https://doi.org/10.1117/12.812742

KEYWORDS: Quantitative analysis, Remote sensing, Satellites, Satellite imaging, Earth observing sensors, Landsat, Environmental sensing, Shape analysis, Data analysis, Classification systems

Read Abstract +

As one of the most important aquatic products raising bases of Guangdong province in China, Zhelin Bay has experienced high intensity of exploitation and utilization during the recent decades. This paper aims at the dynamic change of Zhelin Bay, multi-source data of digital land use map, topographical map, and geomorphological map of the National Coastal Survey of china in 1980s, Landsat TM satellite imagery obtained in 2000, land use data in 2000, as well as SPOT imagery and land use data from the newly National 908 Remote Sensing Survey were used. The data were preprocessed in a uniform mathematical foundation at first. Water area rate, open degree, and morphology coefficient which can depict the change of bays in different respect were taken as quantitative indicators to analyze the morphological changes of Zhelin Bay. The classification based on these indicators was then made in each period of time. Finally, the comprehensive spatio-temporal change of the bay was evaluated in a Changing Index model. Analysis results show that, during the latest 20 years, the water area rate has changed evidently from 0.8503 to 0.7410, leading to the category of Zhelin Bay changed from entire-water bay to much-water bay. Besides, the Changing Index of Zhelin Bay during the latest 20 years is 0.44%. Reasons for the change were discussed and some suggestions were given in the end of the paper.

Proceedings Article | 15 November 2007 Paper

Road extraction based on Scansnake from Beijing-1 image

Jianming Gong, Xiaomei Yang, Min Wang, Jian Lu, Dandan Zhang

Proceedings Volume 6786, 67861W (2007) https://doi.org/10.1117/12.748981

KEYWORDS: Roads, Feature extraction, Satellites, Image resolution, Satellite imaging, Earth observing sensors, Detection and tracking algorithms, Image retrieval, Image processing, Spatial resolution

Read Abstract +

Beijing-1 small satellite image of 4m high resolution not only makes it possible to extract the detailed information that is difficult to be obtained from low-resolution images, but also brings out new research subjects for automatic extraction and identification of thematic information. The reason for this are as follows:(1) the obvious increase of data requires higher spatial and temporal efficiency of image data retrieval, display, processing, etc.; (2) due to the highly detailed information of high resolution image, under the influence of the Bidirectional Reflectance Distribution Function (BRDF), different parts of the same object may have different grey levels; together with factors such as object shadow, mutual cover, and cloud cover, the phenomenon of same object, different spectrum of high resolution images becomes more prominent, and the different object, same spectrum still exists, which brings greater difficulties to the work of information extraction [1][2]. The road of high resolution image has the following features: (1) the width of the road varies slightly and slowly; (2) the direction of the road varies slowly; (3) the local mean grey level of the road varies slowly; (4) the road is relatively long. Due to the increase of the resolution, the noises such as bridges, cars and trees along the road and its edge also increase. The paper proposes a new road extraction algorithm namely Scansnake aimed at the features of Beijing-1 images. A large amount of experiments proved that Scansnake algorithm has the advantage of object tracking, and under a series of complex conditions such as the variation of the width of the road and the change of grey feature distribution, Scansnake method can extract the road information of the high resolution Beijing-1 image

Proceedings Article | 10 November 2007 Paper

Research and evaluation of Beijing-1 image fusion based on Imagesharp algorithm

Jianming Gong, Xiaomei Yang, Dong Han, Dandan Zhang, Hai Jin, Zhenyu Gao

Proceedings Volume 6795, 67952L (2007) https://doi.org/10.1117/12.774831

Read Abstract +

Beijing-1 small satellite carries a 4m panchromatic sensor and a 32m multi-spectral sensor, with both the features of the high resolution of SPOT and the multi-spectrum of Landsat. However, its resolution and the wavelength range of the corresponding band are significantly different from the existing satellites. Meanwhile, the difference of the wavelength ranges between the panchromatic image and the multi-spectral image is rather large, especially in the NIR band where the difference reaches 80%. Thus, low correlation means that the traditional image fusion methods are not ideal to date. Aimed at the spectral features of Beijing-1 small satellite high-resolution imagery and multi-spectral imagery, the paper proposes an image fusion method based on Imagesharp. First, linear functions are used to fit the low-resolution image into the high-resolution image, and then the fitted high-resolution multi-spectral image and the high-resolution panchromatic image are fused, which can improve the spatial resolution and keep the original multi-spectral information well at the same time. At last, in comparison to the traditional HIS and Brovey fusion method, Imagesharp method can maintain the color saturation and the spectral information better. A large amount of experiments prove that Imagesharp algorithm is suitable for the Beijing-1 image fusion and it is already specially applied in the Beijing-1 small satellite data deep processing software.

Proceedings Article | 8 August 2007 Paper

Orthorectification model research of Beijing-1 small satellite image

Jianming Gong, Xiaomei Yang, Chenghu Zhou, Dandan Zhang

Proceedings Volume 6752, 67520F (2007) https://doi.org/10.1117/12.760422

KEYWORDS: Sensors, Satellites, Satellite imaging, Distortion, Earth observing sensors, Data modeling, Image sensors, Image resolution, Spatial resolution, Image processing

Read Abstract +

Beijing-1 small satellite was launched Oct.27 2005 and has taken part in the plan of China high-performance earth observation after finishing on-orbit test period. Two kinds of sensors were carried on the satellite. One is 3-band multi-spectral senor whose spatial resolution was 32m, the other panchromatic sensor whose spatial resolution was 4m. In order to ensure truly utility for small satellite data, preliminary deep processing system had been developed for receiving, preprocessing, and data-distribution. Meanwhile, several key questions must be deal with including radiometric calibration, geometric precise rectification, orthographic rectification, image fusion and application demonstration. The paper will focus on the works of the second part including RPC orthographic rectification model and how to optimize algorithms of orthographic rectification which consider the feature of 4m high spatial resolution. RFM is a generalized sensor model, which uses RPC parameters to perform orthographic rectification in no need of orbit parameters and sensor imaging parameters. It is independent on sensors or platforms and supports any object space coordinate system with a variable coordinate system. Compared to linear transformation and polynomial transform, RFM has the highest positioning accuracy. Because RPC is determined by applying the least squares principle to GCP data, approximate error can be evenly distributed through RFM rectification. Based on the experiment on the Beijing-1 high resolution small satellite data using RFM and improved RFM, a generalized model of orthographic rectification of high resolution small satellite data can be developed. The experiment proves: Using second-order improved RFM to rectify the Beijing-1 small satellite image has a sub-pixel positioning accuracy that is close to the accuracy of the rigorous sensor model based on the collinearity equation when the GCPs are evenly distributed.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years